Data Analytics & Reporting, 1L Financial Crimes Risk, Associate, Wealth Management

Overview

Join the Data, Analytics and Reporting Team (DART) within Financial Crimes Risk (FCR) to provide analytical and reporting automation support for the first line financial crimes program, regulatory thematic updates, and transformation initiatives.

What you'll do

• Support development of control structures based on ongoing analysis of relevant first line financial crimes risks, including regulatory and transformation initiatives.
• Liaise with functional area representatives and stakeholders through data-driven analyses to identify and assess potential gaps in the risk framework and recommend control structures.
• Assist with developing requirements and work closely with technology, data and analytics, and operations teams to drive relevant data sourcing and systemic control development.
• Manage projects to build automated and scalable tools for reporting, analysis and efficiency in financial crimes risk processes.
• Assist in designing and implementing a holistic risk management framework for the firm's financial crimes risk program.
• Integrate new data queries and insights into the existing supervision framework.
• Perform data analysis on special topics related to key events and regulations.
• Assist in building data pipelines to support risk management processes.
• Engage senior stakeholders across the 1st and 2nd lines on special initiatives and ongoing financial crimes related risk matters.
• Expand the use of AI across 1st line FCR data driven activities and processes to drive efficiency and automation.
• Collect, process and analyze data from various sources, including sourcing raw data, quality checking, transforming data as necessary, and drawing sound conclusions to help drive risk policies.
• Work with datasets larger than four million records.

What you'll need

• Strong knowledge of SQL and Python.
• Strong project management skills and ability to manage many competing priorities.
• Experience visualizing data for reporting and end user analysis, using tools like Tableau.
• Practical experience with applying statistical models to solve business problems.
• A quantitative degree, e.g., Math, Statistics, Computer Science, Finance.
• Experience in risk management, financial industry and/or business management.
• Working knowledge of financial risk management concepts, with a desire to quickly acquire deeper proficiency.
• Excellent written and verbal communication skills, and comfortable interfacing with senior personnel on highly sensitive issues.
• Proven ability to work across departments to influence others and build strong relationships.
• Strong belief in purposeful evolution, innovation, and digital transformation.
• Attention to detail, high level of initiative and resourcefulness, ability to problem solve, demonstrate good business judgment and integrity.
• Proficiency in Microsoft programs including Outlook, Word, PowerPoint and Excel.

Nice to have

• Knowledge related to Wealth Management.
• Familiarity with Agile software development and software design patterns.

Details

• Location: Mumbai, Maharashtra, India.
• Works independently as well as part of a team, collaborating with Business, IT, Legal and Compliance, and Bank and Field Management.